Data Assimilation Research Team
Data Assimilation Research Team was launched in October, 2012, in RIKEN Advanced Institute for Computational Science (AICS), conveniently located in the beautiful and historic city of Kobe. RIKEN is known as the flagship research institution in Japan. On April 1, 2018, RIKEN AICS was renamed RIKEN Center for Computational Science (R-CCS). R-CCS is operating the world's leading K computer, and also has a strong Research Division. R-CCS takes the lead in advancing the computational science and aims to be an international center of excellence for computational science in collaboration with a wide range of research organizations. R-CCS integrates the computer science and computational science to conduct most advanced research and development of a wide range of applied scientific computation, as well as of high performance computing technologies.
Data assimilation is a cross-disciplinary science to synergize numerical simulations and observational data, using statistical methods and applied mathematics. As computers become more powerful and enable more precise simulations, it will become more important to compare the simulation with actual observations.
Data Assimilation Research Team ("DA team") performs cutting-edge research and development on advanced data assimilation methodsand their wide applications, aiming at integrating computer simulations and observational data in the wisest way. Particularly, the DA team will tackle challenging problems of developing efficient and accurate data assimilation systems for high-dimensional simulations with large amount of data. The specific areas include 1) research on parallel-efficient algorithms for data assimilation with the super-parallel K computer, 2) research on data assimilation methods and applications by taking advantage of the world-leading K computer, and 3) development of most advanced data assimilation software optimized for the K computer.
February 21, 2018 at R-CCS
Job Opportunity / Programs
- Job Opp Postdoctoral Researcher, Research Scientist, or Senior Research Scientist (R-CCS, Kobe）
- Program Programs for Junior Scientists
Evebts / Media
Monthly seminar in English
January 18, 2018 RIKEN Press Release: Himawari-8 data assimilated simulation enables 10-minute updates of rain and flood predictions
July 4, 2017 RIKEN Press Release: New system promises more rapid and accurate prediction of rainfall
May 11, 2017 GSMaP RIKEN nowcast (GSMaP_RNC) is now open!
March 31, 2017 Deutsche Welle: Predicting the future with supercomputers
March 28, 2017 Deutsche Welle Spectrum: Unpredictable
August 9, 2016 RIKEN Press Release: K computer and high-tech weather radar come together to predict sudden torrential rains
- RIKEN RESEARCH FALL 2016 (P8): Supercomputing torrential downpours
November 11, 2015 RIKEN Press Release: Largest ensemble simulation of global weather using real-world data
- RIKEN RESEARCH SPRING 2016 (P21-22): Largest ensemble simulation of global weather using real-world data
July 23, 2014 RIKEN Press Release: K computer runs largest ever ensemble simulation of global weather